Location: New Orleans , United States
Submission deadline: 6/14/2021
Conference dates: 2/4/2022 - 2/4/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 174 | 27 | 24 | 9 |
| Computer Science | 407 | 28 | 24 | 9 |
This ranking presents a comprehensive evaluation of scientific conferences within the field of Computer Science. Curated by Research.com, a leading authority in providing trusted data on scientific contributions across all major disciplines since 2014, the ranking is designed to guide researchers and professionals seeking the most impactful venues for dissemination and collaboration in Computer Science.
Conference positions are determined using a unique bibliometric score developed by Research.com. This score rigorously reflects the scholarly impact of each conference by integrating estimated h-index values and the presence of leading scientists, based on attendance and publication records accrued over the last three years. The Impact Score values featured in this ranking were gathered as of 2024-11-27, ensuring the analysis is both current and relevant.
The methodology behind the ranking is robust and data-driven. More than 2,742 conferences were included, following a meticulous selection process and thorough examination of over 148,739 scientific documents. These documents were published by 13,184 distinguished scientists recognized as leaders in the domain of Computer Science. Each step of the process is underscored by rigorous inspection and expert judgment, attesting to the depth and credibility of the final results.
For comprehensive details about the methodology used to compute these ranking scores, including the criteria for bibliometric assessment and scientist selection, please refer to our Methodology Page.
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 25.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 25.00% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Exploring computer science through online programs offers flexibility and access to cutting-edge knowledge. Many students opt for computer science degrees online to accelerate their learning while balancing other commitments. These programs are designed to deliver comprehensive curricula that prepare graduates for diverse tech roles.
For those interested in the growing field of data, pursuing a data science degree can open doors to careers in analytics, machine learning, and business intelligence. Affordability and quality make online data science programs appealing for students aiming to enter this competitive area.
Advanced learners focused on innovation might consider enrolling in online AI PhD programs. These programs provide in-depth research opportunities and specialized knowledge crucial for driving artificial intelligence advancements and contributing to future technologies.
Security remains a top priority in computing, and the demand for professionals is high. The fastest cyber security degree programs online can equip students quickly with the skills needed to protect information systems and tackle cybersecurity challenges worldwide.
Rutgers, The State University of New Jersey
Iowa State University
New York University
University of Chicago
Northeastern University
Rutgers, The State University of New Jersey
Columbia University
Athens University of Economics and Business
University of New South Wales
North Carolina State University
University of Klagenfurt
Polytechnic University of Milan